Neurocognitive Aging ME-fMRI (ds003592)
Neurocognitive aging data release with behavioral, structural and multi-echo functional MRI measures
Brain MRI with cognitive and personality scores of healthy younger and older adults, from a study of cognitive aging and age differences in brain networks. 301 people from Ithaca and Toronto with structural and multi-echo resting-state fMRI, in BIDS under CC0.
Overview
This release comes from a two-site cross-sectional study of cognitive aging led by R. Nathan Spreng and Gary Turner. Healthy younger and older adults were tested on a large battery of cognitive, socioemotional and personality measures and then scanned with structural MRI and multi-echo resting-state fMRI. The imaging data sit on OpenNeuro as ds003592 under CC0, and demographic and behavioral scores are on OSF (osf.io/yhzxe). The study suits work on age differences in brain networks, multi-echo denoising, brain-behavior associations and white matter hyperintensities in older adults.
Composition
301 participants passed quality control: 181 younger adults aged 18 to 34 and 120 older adults aged 60 to 89. 238 were scanned at Cornell University in Ithaca, New York, and 63 at York University in Toronto. Every participant has a T1-weighted MPRAGE and two 10-minute multi-echo resting-state runs on separate sessions. T2-FLAIR is present for 251 participants in the current snapshot. Pulse and respiration recordings exist for a subset scanned at Cornell. 283 participants completed the in-lab NIH Toolbox and auxiliary cognitive tests, and 253 completed the online questionnaires.
Acquisition
Cornell used a 3T GE Discovery MR750 and York a 3T Siemens TimTrio, both with 32-channel head coils. Resting-state runs are three-echo EPI with TR 3 s and about 3 mm voxels; T1w images are 1 mm isotropic. FLAIR slices are 3 mm thick. Structural images were defaced. Data are organized in BIDS.
Annotations
There are no image labels. The paper reports FreeSurfer volumes, white matter hyperintensity estimates from the LST lesion prediction algorithm for 105 older adults and fMRI quality metrics as technical validation, but these derivatives are not part of the OpenNeuro release.
Known limitations
- Participants were screened for health and cognition and all are right-handed, so the sample is not population-based.
- Sources disagree on the FLAIR count: 258 in the paper, 246 in the OpenNeuro README and 251 subjects with FLAIR files.
- Each site used one scanner from a different vendor, so site and vendor effects are confounded.
- Twelve FLAIR scans and one resting-state run have a non-standard number of slices or volumes, flagged in participants.tsv.
- Some participants also appear in the earlier OpenNeuro dataset ds000210.
- A 2024 author correction fixed descriptive statistics for one cognitive test (Trails B minus A).
Cohort
Aggregate numbers from the sources below. Bars are relative to the 301 subjects.
Contrast / sequence
Groups can overlap
- T1-weighted 301 100%
- BOLD fMRI 301 100%
- FLAIR 251 83%
anat/*_T1w.nii.gz, func/*_bold.nii.gz, anat/*_FLAIR.nii.gz in File listing of the ds003592 BIDS repository (CC0), subjects counted per T1w, FLAIR and bold NIfTI file
Scanner vendor
- GE HealthCare 238 79%
- Siemens Healthineers 63 21%
Methods: Magnetic resonance imaging in Spreng et al. 2022, Neurocognitive aging data release with behavioral, structural and multi-echo functional MRI measures, Scientific Data (PMC full text, with the 2024 author correction applied)
Country
- United States 238 79%
- Canada 63 21%
Country by sex
Reported cross table. A dot marks a cell the source does not give.
| Female | Male | |
|---|---|---|
| United States | 133 | 105 |
| Canada | 36 | 27 |
Age
median 26, range 18 to 89
Table 1 in Spreng et al. 2022, Neurocognitive aging data release with behavioral, structural and multi-echo functional MRI measures, Scientific Data (PMC full text, with the 2024 author correction applied); age in participants.tsv of ds003592 (CC0), counted per row; ages from the age column (one value top-coded as 89+)
Condition
Groups can overlap
- Healthy control 301 100%
Methods: Participants in Spreng et al. 2022, Neurocognitive aging data release with behavioral, structural and multi-echo functional MRI measures, Scientific Data (PMC full text, with the 2024 author correction applied)
Field strength
- 3 T 301 100%
Methods: Magnetic resonance imaging in Spreng et al. 2022, Neurocognitive aging data release with behavioral, structural and multi-echo functional MRI measures, Scientific Data (PMC full text, with the 2024 author correction applied)
Age by country
Reported cross table. A dot marks a cell the source does not give.
| United States | Canada | |
|---|---|---|
| 18-34 | 154 | 27 |
| 60-89 | 84 | 36 |
Age by contrast / sequence
Reported cross table. A dot marks a cell the source does not give.
| FLAIR | |
|---|---|
| 18-34 | 142 |
| 60-89 | 109 |
Age by sex
Reported cross table. Missing cells were not published (fewer than 10 or not reported).
- 6660-8954
- 10318-3478
Contrast combinations
How many subjects have exactly each set of contrasts.
| T1w | FLAIR | bold | Subjects with exactly this set |
|---|---|---|---|
251 | |||
50 |
Other reported numbers 8
License and access
Our reading of the license, not legal advice. Before you use the data, read the original license and confirm that your use is allowed. We take no responsibility for how you use a dataset. Full disclaimer
Download without an account
Creative Commons Zero 1.0 Universal
Public domain dedication. Do anything with the data, including commercial use, without asking and without having to give credit.
dataset_description.json of snapshot 1.0.13 states "License" CC0, and the data descriptor states that all data are shared under CC0. The behavioral data on OSF (osf.io/yhzxe) are covered by the same statement.
What you can do
- Yes
- Yes
- Yes
- Yes
- Yes
What you can share
- Yes
- Yes
- Yes
What you must do
- No
- Share alike No
- No
- No
- Manuscript review No
- Release code No
- Return results No
- Delete after use No
Limits
- No
- Location limits No
Citation
Spreng RN, Setton R, Alter U, et al. Neurocognitive aging data release with behavioral, structural and multi-echo functional MRI measures. Scientific Data 9, 119 (2022). doi:10.1038/s41597-022-01231-7
Sources
Every number on this page comes from one of these documents. Each chart names the table or page it is taken from. The raw numbers are in stats.csv.
- Spreng et al. 2022, Neurocognitive aging data release with behavioral, structural and multi-echo functional MRI measures, Scientific Data (PMC full text, with the 2024 author correction applied) paper
- OpenNeuro ds003592 snapshot 1.0.13 (dataset_description.json, README, CHANGES and snapshot size) website
- participants.tsv of ds003592 (CC0), counted per row; ages from the age column (one value top-coded as 89+) computed
- File listing of the ds003592 BIDS repository (CC0), subjects counted per T1w, FLAIR and bold NIfTI file computed